AI Analysis
The package has moderate risk due to incomplete metadata and low maintainer activity, despite showing no signs of immediate malicious behavior.
- Metadata risk of 6/10 due to incomplete metadata and low maintainer activity.
- Network risk of 3/10 due to potential API key usage.
Per-check LLM notes
- Network: The presence of network calls suggests the package interacts with an external API using an API key, which is common for legitimate services but requires careful management to prevent unauthorized access.
- Shell: No shell execution patterns were detected, indicating low risk of direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
- Metadata: The package shows signs of low maintainer activity and incomplete metadata, raising concerns about its legitimacy and potential security issues.
Package Quality Overall: Low (2.0/10)
No test suite detected
No test files or test-runner configuration detected
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
9 type-annotated function signatures (partial)
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
Found 1 network call pattern(s)
on": api_key, } with httpx.Client(timeout=timeout) as client: response = client.post(e
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
4 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a mini-application named 'EstateManager' that leverages the 'alix-graphql-mcp-read-write-tool' Python package to manage properties within a specific estate. This application should allow users to perform CRUD operations on property records through a simple command-line interface (CLI). Each property record will be scoped to a unique estate ID, ensuring that all operations are contextually relevant. ### Features: 1. **Property Listing**: Display a list of all properties within the specified estate. 2. **Add Property**: Allow users to add new property records to the estate database. 3. **Update Property**: Provide functionality to update existing property records. 4. **Delete Property**: Implement a feature to delete property records from the estate database. 5. **Search Properties**: Enable users to search for properties based on criteria such as property type, price range, etc. 6. **Estate Switching**: Allow users to switch between different estates to manage their properties. ### Utilizing 'alix-graphql-mcp-read-write-tool': - Use the package to connect to the Alix GraphQL API, ensuring that all interactions are authenticated and scoped to the correct estate ID. - Leverage the package's query and mutation capabilities to read and write data to the estate's property records. - Implement error handling to gracefully manage any issues encountered during API interactions, such as network errors or validation failures. ### Implementation Steps: 1. **Setup Project Environment**: Initialize a Python virtual environment and install necessary packages including 'alix-graphql-mcp-read-write-tool'. 2. **Authentication**: Set up authentication mechanisms to securely interact with the API using valid credentials. 3. **CLI Development**: Develop a CLI interface that supports commands for listing, adding, updating, deleting, and searching properties. 4. **Data Handling**: Ensure that input data is validated and formatted correctly before sending requests to the API. 5. **Testing**: Write tests to validate that each feature works as expected under various conditions. 6. **Documentation**: Prepare documentation detailing how to use the CLI and configure it for different estates. 7. **Deployment**: Package the application for distribution, allowing others to easily install and use 'EstateManager'.
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